Argus Report
A

AgentKit

Python Active

Modular Python framework for composable agents

GitHub
Medium Security

8.4K

Stars

v1.2.0

Latest

~80MB

RAM

~2s

Startup

Composite Score

Argus Report scoring across six dimensions (1-10 scale)

5

Performance

#11 of 15

7

Features

#6 of 15

6

Security

#8 of 15

8

Momentum

#5 of 15

5

Cost Efficiency

#11 of 15

8

Dev Experience

#4 of 15

Cold Start Performance

Time from process launch to first response

Cold start
~2s #8
Warm response
~45ms

Memory Usage

Peak RSS during standard workload

Idle RSS
~80MB
Active RSS (10 tools)
2.1GB
Peak (stress test)
3.4GB

Token Efficiency

Tokens consumed per equivalent task completion

Simple Q&A
~280
Multi-step task
~1200
Tool calling
~220

Methodology

Benchmarks are run weekly on standardized hardware (AWS c7g.xlarge, 4 vCPU, 8GB RAM, Ubuntu 24.04). Token efficiency is measured using equivalent prompts across Claude 4.5 Sonnet. All results are averages of 10 runs with cold cache. Last updated: Feb 17, 2026.